Optimized wake-superposition approach for multiturbine wind farms
Abstract Optimizing the wind farm layout requires accurately quantifying the wind-turbine wake distribution to minimize interference between wakes. Thus, the accuracy of wind turbine wake superposition models is critical. The sum of squares (SS) model is currently touted as the most accurate, but it...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-33165-4 |
| _version_ | 1797836392032632832 |
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| author | Deshun Li Jixiang Chang Gaosheng Ma Chunyu Huo Rennian Li |
| author_facet | Deshun Li Jixiang Chang Gaosheng Ma Chunyu Huo Rennian Li |
| author_sort | Deshun Li |
| collection | DOAJ |
| description | Abstract Optimizing the wind farm layout requires accurately quantifying the wind-turbine wake distribution to minimize interference between wakes. Thus, the accuracy of wind turbine wake superposition models is critical. The sum of squares (SS) model is currently touted as the most accurate, but its application in engineering is hampered by its overestimation of the velocity deficit of the mixed wake. Therefore, previous work relied on approximate power calculations for performing optimization. The physical meaning of the SS model is unclear, which makes optimization difficult. In this study, a univariate linear correction idea is proposed based on the linear increase phenomenon of the SS method error. The unknown coefficients are obtained by fitting experimental data. The results demonstrate that the proposed method can accurately quantify the full-wake two-dimensional distribution of the mixed wake. |
| first_indexed | 2024-04-09T15:09:30Z |
| format | Article |
| id | doaj.art-098efb3fbc7f42909b6a987256e54706 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T15:09:30Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-098efb3fbc7f42909b6a987256e547062023-04-30T11:17:21ZengNature PortfolioScientific Reports2045-23222023-04-0113111110.1038/s41598-023-33165-4Optimized wake-superposition approach for multiturbine wind farmsDeshun Li0Jixiang Chang1Gaosheng Ma2Chunyu Huo3Rennian Li4College of Energy and Power Engineering, Lanzhou University of TechnologyCollege of Energy and Power Engineering, Lanzhou University of TechnologyCollege of Energy and Power Engineering, Lanzhou University of TechnologyCollege of Energy and Power Engineering, Lanzhou University of TechnologyCollege of Energy and Power Engineering, Lanzhou University of TechnologyAbstract Optimizing the wind farm layout requires accurately quantifying the wind-turbine wake distribution to minimize interference between wakes. Thus, the accuracy of wind turbine wake superposition models is critical. The sum of squares (SS) model is currently touted as the most accurate, but its application in engineering is hampered by its overestimation of the velocity deficit of the mixed wake. Therefore, previous work relied on approximate power calculations for performing optimization. The physical meaning of the SS model is unclear, which makes optimization difficult. In this study, a univariate linear correction idea is proposed based on the linear increase phenomenon of the SS method error. The unknown coefficients are obtained by fitting experimental data. The results demonstrate that the proposed method can accurately quantify the full-wake two-dimensional distribution of the mixed wake.https://doi.org/10.1038/s41598-023-33165-4 |
| spellingShingle | Deshun Li Jixiang Chang Gaosheng Ma Chunyu Huo Rennian Li Optimized wake-superposition approach for multiturbine wind farms Scientific Reports |
| title | Optimized wake-superposition approach for multiturbine wind farms |
| title_full | Optimized wake-superposition approach for multiturbine wind farms |
| title_fullStr | Optimized wake-superposition approach for multiturbine wind farms |
| title_full_unstemmed | Optimized wake-superposition approach for multiturbine wind farms |
| title_short | Optimized wake-superposition approach for multiturbine wind farms |
| title_sort | optimized wake superposition approach for multiturbine wind farms |
| url | https://doi.org/10.1038/s41598-023-33165-4 |
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